PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-23 10:22:34.602558+00:00 (UTC)
In US/Central Time, this is 2024-08-23 05:22:34.602558-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/cae04934b7ef6547ff4335b8ef76b873fcee23fb5141b2ab6b1e9f584556778a.png
We are just generating a random time serie here.
../_images/90d389e5003b1435e7276759ad5ce85fc49215cdc421a8bcb63e080720aa9da7.png
../_images/d8d881e0c208591cd05631f25d40ad020261811c144e190d98201e77c2f918e2.png